What problem does it solve?
Finding accurate, up-to-date, and comprehensive technical documentation for libraries and frameworks can be a time-consuming and fragmented process, often requiring manual searching across various sources. This skill automates the discovery and analysis of technical documentation, ensuring you get the most relevant information quickly and efficiently.
Core Features & Use Cases
- llms.txt-First Search: Prioritizes finding standardized, AI-friendly
llms.txt files for efficient and authoritative documentation retrieval.
- GitHub Repository Analysis: Leverages Repomix to analyze entire GitHub repositories, extracting documentation and code context even when
llms.txt is unavailable.
- Parallel Exploration & Research: Deploys multiple AI agents to simultaneously explore various documentation sources, including official sites, tutorials, and community guides, for comprehensive coverage.
- Version-Aware Discovery: Intelligently handles requests for specific documentation versions, ensuring compatibility and accuracy for your project needs.
- Use Case: Quickly get a consolidated report on the latest API changes for a specific framework version, or find installation instructions and common usage patterns for an obscure library with scattered documentation.
Quick Start
Use the docs-seeker skill to find the latest documentation for the 'Hono' web framework.